Intel® Extension for Scikit-learn provides drop-in replacement patching functionality for a seamless way to speed up Scikit-learn application. Acceleration is achieved through the use of the Intel® oneAPI Data Analytics Library (oneDAL) and its convenient Python API daal4py powering the extension underneath.
What's the difference between this Python project and similar ones?
Library uses all capabilities of the hardware, which allows you to get a significant performance boost for the classic machine learning algorithms. Check their patching section and medium articles for more details.
All optimizations can be easily integrated into scikit-learn application by changing one line of code. Check their get started section for more details.
The library supports intel GPU. Check their get started section for more details.
The library allows accelerating the prediction step for XGBoost and LightGBM. Read more here.
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Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.
## 📋 Pull Request Information
**Original PR:** https://github.com/vinta/awesome-python/pull/1786
**Author:** [@PivovarA](https://github.com/PivovarA)
**Created:** 7/5/2021
**Status:** ❌ Closed
**Base:** `master` ← **Head:** `master`
---
### 📝 Commits (3)
- [`eac720c`](https://github.com/vinta/awesome-python/commit/eac720cec7334c5ac2341fce9e58a7cf8e8acacf) add scikit-learn-intelex
- [`72574e6`](https://github.com/vinta/awesome-python/commit/72574e6c74d7c91debe71f265a5671fb4f490bed) add better library description
- [`4b5c9da`](https://github.com/vinta/awesome-python/commit/4b5c9daecc146d3f2d72fe7f3f0fb000ee470f29) change library name
### 📊 Changes
**1 file changed** (+1 additions, -0 deletions)
<details>
<summary>View changed files</summary>
📝 `README.md` (+1 -0)
</details>
### 📄 Description
## What is this Python project?
Intel® Extension for Scikit-learn provides drop-in replacement patching functionality for a seamless way to speed up Scikit-learn application. Acceleration is achieved through the use of the Intel® oneAPI Data Analytics Library ([oneDAL](https://github.com/oneapi-src/oneDAL)) and its convenient Python API daal4py powering the extension underneath.
## What's the difference between this Python project and similar ones?
- Library uses all capabilities of the hardware, which allows you to get a significant performance boost for the classic machine learning algorithms. Check their [patching section](https://github.com/oneapi-src/oneDAL#scikit-learn-patching) and [medium articles](https://github.com/intel/scikit-learn-intelex#-follow-us-on-medium) for more details.
- All optimizations can be easily integrated into scikit-learn application by changing one line of code. Check their [get started section](https://github.com/intel/scikit-learn-intelex#%EF%B8%8F-get-started) for more details.
- The library supports intel GPU. Check their [get started section](https://github.com/intel/scikit-learn-intelex#%EF%B8%8F-get-started) for more details.
- The library allows accelerating the prediction step for XGBoost and LightGBM. Read more [here](https://medium.com/intel-analytics-software/improving-the-performance-of-xgboost-and-lightgbm-inference-3b542c03447e).
--
Anyone who agrees with this pull request could submit an *Approve* review to it.
---
<sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
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📋 Pull Request Information
Original PR: https://github.com/vinta/awesome-python/pull/1786
Author: @PivovarA
Created: 7/5/2021
Status: ❌ Closed
Base:
master← Head:master📝 Commits (3)
eac720cadd scikit-learn-intelex72574e6add better library description4b5c9dachange library name📊 Changes
1 file changed (+1 additions, -0 deletions)
View changed files
📝
README.md(+1 -0)📄 Description
What is this Python project?
Intel® Extension for Scikit-learn provides drop-in replacement patching functionality for a seamless way to speed up Scikit-learn application. Acceleration is achieved through the use of the Intel® oneAPI Data Analytics Library (oneDAL) and its convenient Python API daal4py powering the extension underneath.
What's the difference between this Python project and similar ones?
--
Anyone who agrees with this pull request could submit an Approve review to it.
🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.